Genome-wide identification of H2A.Z-interacting proteins by bPPI-seq
Transcriptomics Dataset
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General Information
AccessionGSE80425
TitleGenome-wide identification of H2A.Z-interacting proteins by bPPI-seq
DescriptionHistone variant H2A.Z is a critical player in setting up the chromatin environment that mediates transcription and other activities on chromatin. However, how H2A.Z is incorporated to specific chromatin regions is not clear. To examine the potential role of sequence-specific transcription factors in targeting H2A.Z, we screened for genome-wide H2A.Z-interacting proteins in vivo using a novel technique called bait Protein-Protein Interaction-sequencing (bPPI-seq). Among the hundreds of H2A.Z-interacting proteins identified by bPPI-seq, we show that a zinc-finger transcription factor, Osr1 interacts with H2A.Z both in vitro and in vivo and co-localizes with H2A.Z on chromatin. Knockdown of Osr1 compromised H2A.Z deposition to hundreds of chromatin sites enriched with Osr1 binding motifs. Furthermore, Osr1 and H2A.Z co-regulate the expression of numerous target genes. These results indicate that Osr1 directly interacts with H2A.Z, mediates its incorporation to a large number of target sites and regulates gene expression. Our data indicate that bPPI-seq can be widely applied to identify unbiasedly interacting proteins under physiologic conditions.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80425
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE80425
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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